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Within the $3.5M ARPA-e NEXTCAR program, Michigan Tech in collaboration with GM will development and demonstrate on a fleet of eight 2017 Chevrolet Volts and a mobile connected cloud computing center, a Vehicle Dynamics and Powertrain (VD&PT) model-based predictive controller (MPC) encompassing a real-time VD&PT dynamic model leveraging vehicle conductivity (V2X) with real-time traffic modeling and predictive speed horizons and eco-routing. The objective is to achieve a minimum of 20% reduction in energy consumption (electric + fuel) through the first ever real-time implementation and connection of route planning, powertrain energy management MPC algorithms. Connectivity data from vehicles, infrastructure, GPS, traffic and desired route planning combined with a dynamic model of the powertrain-vehicle system allows prediction of the vehicle’s future speed profile and enables forward looking optimization of powertrain mode selection, energy utilization from the battery and fuel source, and distribution of propulsive torque from the electric motors and/or internal combustion engine. Development and testing will be done at MCity and within a complete integrated vehicle and traffic simulation model.
Engineering Mechanics | Mechanical Engineering
Naber, Jeffrey D., "DOE APRA-E NEXTCAR program on connected and automated vehicles in collaboration with GM" (2017). TechTalks. 32.